Package: tidymodlr 1.0.0

tidymodlr: An R6 Class to Perform Analysis on Long Tidy Data

Transforms long data into a matrix form to allow for ease of input into modelling packages for regression, principal components, imputation or machine learning. It does this by pivoting on user defined columns, generating a key-value table for variable names to ensure one-to-one mappings are preserved. It is particularly useful when the indicator names in the columns are long descriptive strings, for example "Energy imports, net (% of energy use)". High level analysis wrapper functions for correlation and principal components analysis are provided.

Authors:David Hammond [aut, cre]

tidymodlr_1.0.0.tar.gz
tidymodlr_1.0.0.zip(r-4.5)tidymodlr_1.0.0.zip(r-4.4)tidymodlr_1.0.0.zip(r-4.3)
tidymodlr_1.0.0.tgz(r-4.4-any)tidymodlr_1.0.0.tgz(r-4.3-any)
tidymodlr_1.0.0.tar.gz(r-4.5-noble)tidymodlr_1.0.0.tar.gz(r-4.4-noble)
tidymodlr_1.0.0.tgz(r-4.4-emscripten)tidymodlr_1.0.0.tgz(r-4.3-emscripten)
tidymodlr.pdf |tidymodlr.html
tidymodlr/json (API)
NEWS

# Install 'tidymodlr' in R:
install.packages('tidymodlr', repos = c('https://david-hammond.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/david-hammond/tidymodlr/issues

Datasets:
  • wb - Dummy Long Tidy Data

On CRAN:

3.48 score 4 scripts 182 downloads 2 exports 119 dependencies

Last updated 6 months agofrom:d2b8f3835b. Checks:5 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-winNOTEJan 24 2025
R-4.5-linuxNOTEJan 24 2025
R-4.4-winOKJan 24 2025
R-4.4-macOKJan 24 2025
R-4.3-winOKJan 24 2025
R-4.3-macOKJan 24 2025

Exports:make_key_valuetidymodl

Dependencies:abindbackportsbase64encBHbootbroombslibcacachemcarcarDatacliclustercodetoolscolorspacecorrrcowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeforeachFormulafsgclusgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivpbkrtestpermutepillarpkgconfigpromisespurrrqapquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasregistryrlangrmarkdownsassscalesscatterplot3dseriationslamSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextmTSPutf8vctrsveganviridisLitewithrxfunxml2yaml